Javid Ebrahimi

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Javid Ebrahimi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Yoon Kim
  2. Takeru Miyato
  3. Ian J. Goodfellow
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Yonatan Belinkov
  7. Diederik P. Kingma
  8. Alex Krizhevsky
  9. Ilya Sutskever
  10. Richard Socher

Who trusts Javid Ebrahimi overall

  1. Eric Wallace
  2. Yonatan Belinkov
  3. Shi Feng
  4. Yong Cheng
  5. Linyang Li
  6. Keita Kurita
  7. Matt Gardner
  8. James R. Glass
  9. Mohit Iyyer
  10. W. Zhang

Papers from Javid Ebrahimi's perspective

Ordered by how strongly the researchers Javid Ebrahimi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers